python cvxpy
时间: 2023-08-25 16:15:41 浏览: 59
Python cvxpy是一个用于凸优化的Python库,它提供了一种简洁的方式来定义和求解最优化问题。cvxpy支持各种线性和非线性约束,以及各种目标函数类型。在cvxpy中,可以使用numpy库构造矩阵和向量常数,并将其用于定义优化问题。<em>1</em><em>2</em><em>3</em>
#### 引用[.reference_title]
- *1* [Python求解凸优化问题之CVXPY](https://blog.csdn.net/weixin_43464554/article/details/121280322)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT0_1"}} ] [.reference_item]
- *2* [【数学建模之Python】2.凸优化库cvxpy的具体使用方法(2021/7/16)](https://blog.csdn.net/m0_53392188/article/details/118827295)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT0_1"}} ] [.reference_item]
- *3* [Python.CVXPY学习指南一](https://blog.csdn.net/GeekWill/article/details/78836054)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT0_1"}} ] [.reference_item]
[ .reference_list ]